🎓 Biology as Poetry Laboratories

🔬 The Laboratories

Click any card to expand it. The title and subtitle say what the laboratory will ask of you — usually a better guide to whether it is the right one than a description of its contents.

⚠️ Lightly Curated

These four laboratories differ from the others in that their content has been checked only minimally and has not been independently verified. Each card notes what to keep in mind.

💡 How They Fit Together

The laboratories overlap deliberately, because the same difficulty turns up in different clothes depending on where you meet it.

• How to Study is the general case, and the one to start with if you are not sure which problem you have. Its diagnostic points at the rest.
• Doing Science is the meta-laboratory that underlies every other laboratory that asks you to observe, measure, or predict: once you can tell an observation from an inference, name the variables in an experiment, and say what result would prove a hypothesis wrong, those skills show up in every experiment the other laboratories run. Its Spot the Flaw tab pairs naturally with Presenting Data, where you build figures instead of critiquing them; its Theory Law Fact tab addresses the language that runs through all of the biological content; and its two kinds of why — proximate and ultimate — are the organizing question of every evolutionary laboratory.
• Basic Math for Biology gives the arithmetic every other laboratory draws on — the scientific notation Probability uses, the algebra Equilibrium requires, and the logarithms Presenting Data needs. It is the place to go if a specific calculation in any of the others is the obstacle.
• Basic Chemistry for Biology is its companion, one course further along: chemistry’s calculations are algebra, and its conversions, logarithms, and powers of 10 are the ones Basic Math for Biology practices. Its equilibrium skills are the calculations behind Equilibrium, and its oxidation–reduction and fermentation problems are the chemistry of Doing Fermentation.
• Deconstruction and How to Study share a thesis: writing something down is not a record of thinking but a place where thinking can happen. An exam question, seen from the right angle, is a word problem with distractors attached.
• Equilibrium and Probability take single concepts that feel obvious and are not, and make you produce a number before showing you one.
• Doing Mendelian Genetics takes over where Deconstruction leaves off: once a genetics word problem has been taken apart, it works the cross forward or backward, using the same chance that Probability makes you roll.
• Presenting Data grows out of the tables and graphs of Probability, but works with any data, and turns the exercise around: instead of spotting faults built into a figure, you build the figure and the page points out its faults.
• Basic Statistics for Biology gives the numbers that every experiment produces a framework for interpreting. The chi-square test it covers is the same one Probability prepares you for and Doing Mendelian Genetics applies to ratios from crosses. Its regression and correlation are the tools Presenting Data assumes when it asks you to fit a line; its analysis of variance is the formal comparison of treatment groups that Doing Fermentation and Doing Microscopy produce.
• Doing Microscopy is the closest of these to a wet laboratory, and is meant to be used alongside one rather than in place of it: watch a specimen brought into focus, then do the same at your own microscope. Its counting chamber returns to the theme of Probability: cells scattered at random make every count uncertain, by an amount that can be worked out in advance.
• Doing Fermentation also accompanies a wet laboratory: its dough balls are a small experiment whose outcome is predicted and recorded before incubation, and whose results, four treatments with measured changes, are the kind of small data set that Presenting Data is built for.
• Doing Biochemistry is the molecular vocabulary that underlies Doing Fermentation: glycolysis and the fate of pyruvate are where both pages meet. The acid-base behavior and structural chemistry it develops also draw on Basic Chemistry for Biology, which covers the organic and biological chemistry that gives biochemistry its grammar.
• Membranes and Transport picks up where Doing Biochemistry leaves off at the level of structure: the phospholipid is the chemistry of Basic Chemistry for Biology made into an architecture, and the Nernst equation is the equilibrium mathematics of Equilibrium applied to ions across a membrane. The endomembrane system at the end of the laboratory traces the path of every protein that Molecular Genetics produces, from ribosome to endoplasmic reticulum to Golgi to its final destination.
• Molecular Genetics is where the molecules of Doing Biochemistry — nucleotides, amino acids, and the reactions that link them — are put to work running a program: DNA replication, transcription, and translation are the same chemistry, now copying and expressing information. The lac operon connects to Doing Fermentation at the metabolic level — the same glucose–lactose switch governs the diauxic growth that fermentation laboratories measure — and to Doing Evolution at the population level, where regulatory mutations and horizontal gene transfer are forces that shift allele frequencies.
• Doing Evolution is population genetics as a running simulation, and it connects to Doing Mendelian Genetics at one end — allele frequencies in a population are the aggregate of the same probability that Probability uses, worked out across many crosses — and to Meeting Our Concestors at the other, where the same forces operating over geological time produced the branching of life. The human allele catalog gives a molecular face to the same chemistry Doing Biochemistry covers at the structural level.
• Doing Animal Diversity maps the body-plan innovations — bilateral symmetry, coelom, notochord, backbone — that mark the major branching points in animal evolution; Meeting Our Concestors then walks back through the same lineages in time, and Doing Evolution explains how one branch diverged from another in the first place.
• Life Cycles gives structural context to the meiosis at the heart of Doing Mendelian Genetics: each cycle is a different answer to when meiosis happens and how long the organism stays haploid. The animal cycles Doing Animal Diversity maps all run gametic meiosis — the haploid phase is just a gamete — while the plant and algal cycles introduce alternation of generations, where a full multicellular body develops from a spore.
• Meeting Our Concestors follows inheritance, the subject of Doing Mendelian Genetics, across billions of years instead of one generation; every concestor was a population, not a single individual. The walk itself comes from Richard Dawkins’s The Ancestor’s Tale. Its Deep Time tab is a problem of scale of the kind Basic Math for Biology practices with scientific notation, made into something you can picture.
• Doing Human Anatomy maps the organ systems at the level where structure becomes function: the routes blood, air, food, and urine follow are the macroscale expression of the membrane transport, molecular genetics, and biochemistry those laboratories cover at the molecular level. Because its content was generated by an AI, it should be used alongside a textbook rather than in place of one.
• Terms Challenge handles the part of biology that genuinely is memorization — and is the right tool for facts, while being no help at all with concepts, which is a distinction worth keeping.
• The Reference Checker is the scholarly counterpart to Presenting Data: both are about producing work that holds up to independent verification. A figure earns trust by showing the data correctly; a citation earns trust by being accurate and findable, and the Reference Checker turns that standard into something you can run before you submit.